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1. 发明授权

US07773743B2 Integration of a microphone array with acoustic echo cancellation and residual echo suppression 有权
标题翻译：集成麦克风阵列与声学回声消除和残余回波抑制
公开(公告)号：US07773743B2
公开(公告)日：2010-08-10
申请号：US11414776
申请日：2006-04-28
申请人： Jack W. Stokes , Chao He , Qin Li , Arungunram C. Surendran
发明人： Jack W. Stokes , Chao He , Qin Li , Arungunram C. Surendran
IPC分类号： H04M9/08
CPC分类号： H04M9/082
摘要： Acoustic echo cancellation, residual echo suppression and sound-source localization/microphone array processes are combined in a two-way voice communication system that uses a microphone array to capture local speech. The processes can be configured according to various alternative architectures and enhancements made to the processes to avoid the adverse effects of non-linear operations in the residual echo suppression on the sound-source localization/microphone array process.
摘要翻译：声回波消除，残余回声抑制和声源定位/麦克风阵列处理被组合在使用麦克风阵列捕获本地语音的双向语音通信系统中。这些过程可以根据各种替代架构进行配置，并且对进程进行增强，以避免非线性操作对声源定位/麦克风阵列处理中的残余回声抑制的不利影响。

2. 发明授权

US08103011B2 Signal detection using multiple detectors 有权
标题翻译：使用多个探测器进行信号检测
公开(公告)号：US08103011B2
公开(公告)日：2012-01-24
申请号：US11669549
申请日：2007-01-31
申请人： Asif Iqbal Mohammad , Jack W. Stokes, III , John C. Platt , Arungunram C. Surendran
发明人： Asif Iqbal Mohammad , Jack W. Stokes, III , John C. Platt , Arungunram C. Surendran
IPC分类号： H04B3/20 , H04B1/38 , A61F11/06 , G06F17/10 , H04M9/08
CPC分类号： H04M19/04 , H04B3/234
摘要： Signal detectors are described herein. By way of example, a system for detecting signals can include a microphone signal detector, a loudspeaker signal detector, a signal discriminator and a decision component. When the microphone signal detector detects the presence of a microphone signal, the loudspeaker signal detector detects the presence of a loudspeaker signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component can confirm the presence of doubletalk. When the microphone signal detector detects the presence of a microphone signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component confirms the presence of near-end signal.
摘要翻译：这里描述了信号检测器。作为示例，用于检测信号的系统可以包括麦克风信号检测器，扬声器信号检测器，信号鉴别器和决定部件。当麦克风信号检测器检测到麦克风信号的存在时，扬声器信号检测器检测到扬声器信号的存在，并且信号鉴别器确定近端语音主导扬声器回波，判定部件可以确认双音节的存在。当麦克风信号检测器检测到麦克风信号的存在并且信号鉴别器确定近端语音主导扬声器回波时，决定部件确认近端信号的存在。

3. 发明申请

US20110013781A1 SYSTEM AND PROCESS FOR REGRESSION-BASED RESIDUAL ACOUSTIC ECHO SUPPRESSION 有权
标题翻译：基于回归的残留声学抑制的系统和过程
公开(公告)号：US20110013781A1
公开(公告)日：2011-01-20
申请号：US12890075
申请日：2010-09-24
申请人： Amit Chhetri , Arungunram C. Surendran , Jack W. Stokes, III , John C. Platt
发明人： Amit Chhetri , Arungunram C. Surendran , Jack W. Stokes, III , John C. Platt
IPC分类号： H04B3/20
CPC分类号： H04M9/082
摘要： A regression-based residual echo suppression (RES) system and process for suppressing the portion of the microphone signal corresponding to a playback of a speaker audio signal that was not suppressed by an acoustic echo canceller (AEC). In general, a prescribed regression technique is used between a prescribed spectral attribute of multiple past and present, fixed-length, periods (e.g., frames) of the speaker signal and the same spectral attribute of a current period (e.g., frame) of the echo residual in the output of the AEC. This automatically takes into consideration the correlation between the time periods of the speaker signal. The parameters of the regression can be easily tracked using adaptive methods. Multiple applications of RES can be used to produce better results and this system and process can be applied to stereo-RES as well.
摘要翻译：基于回归的残差回波抑制（RES）系统和用于抑制对应于未被声学回声消除器（AEC）抑制的扬声器音频信号的重放的麦克风信号的部分的处理。通常，在多个过去和现在，固定长度的扬声器信号的周期（例如，帧）和当前周期（例如，帧）的相同频谱属性之间使用规定的回归技术 AEC输出中的回波残差。这自动考虑了扬声器信号的时间段之间的相关性。可以使用自适应方法轻松跟踪回归的参数。 RES的多个应用可以用于产生更好的结果，并且该系统和过程也可以应用于立体声RES。

4. 发明申请

US20080181420A1 SIGNAL DETECTION USING MULTIPLE DETECTORS 有权
标题翻译：使用多个检测器的信号检测
公开(公告)号：US20080181420A1
公开(公告)日：2008-07-31
申请号：US11669549
申请日：2007-01-31
申请人： Asif Iqbal Mohammad , Jack W. Stokes , John C. Platt , Arungunram C. Surendran
发明人： Asif Iqbal Mohammad , Jack W. Stokes , John C. Platt , Arungunram C. Surendran
IPC分类号： H04B3/20
CPC分类号： H04M19/04 , H04B3/234
摘要： Signal detectors are described herein. By way of example, a system for detecting signals can include a microphone signal detector, a loudspeaker signal detector, a signal discriminator and a decision component. When the microphone signal detector detects the presence of a microphone signal, the loudspeaker signal detector detects the presence of a loudspeaker signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component can confirm the presence of doubletalk. When the microphone signal detector detects the presence of a microphone signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component confirms the presence of near-end signal.
摘要翻译：这里描述了信号检测器。作为示例，用于检测信号的系统可以包括麦克风信号检测器，扬声器信号检测器，信号鉴别器和决定部件。当麦克风信号检测器检测到麦克风信号的存在时，扬声器信号检测器检测到扬声器信号的存在，并且信号鉴别器确定近端语音主导扬声器回波，判定部件可以确认双音节的存在。当麦克风信号检测器检测到麦克风信号的存在并且信号鉴别器确定近端语音主导扬声器回波时，决定部件确认近端信号的存在。

5. 发明申请

US20120215630A1 VIDEO CONTEXTUAL ADVERTISEMENTS USING SPEECH RECOGNITION 有权
标题翻译：使用语音识别的视频语境广告
公开(公告)号：US20120215630A1
公开(公告)日：2012-08-23
申请号：US13459435
申请日：2012-04-30
申请人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
发明人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
IPC分类号： G06Q30/02
CPC分类号： H04N21/8405 , G06Q30/02 , G06Q30/0255 , G06Q30/0269 , G06Q30/0271 , G10L15/26 , H04N21/440236 , H04N21/4668 , H04N21/812
摘要： Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.
摘要翻译：公开了一种计算机实现的广告显示系统的实施例。在一个实施例中，系统包括语音识别组件，其处理视频剪辑并产生指示视频剪辑的音频部分的语音识别数据的相应集合。该系统还包括一系列广告材料。广告选择组件基于相应的语音识别数据集合从广告素材的集合中选择广告。该系统还包括显示器。广告呈现组件在同时显示视频剪辑期间在显示器上显示所选广告的指示。

6. 发明授权

US07676761B2 Window grouping 有权
标题翻译：窗口分组
公开(公告)号：US07676761B2
公开(公告)日：2010-03-09
申请号：US11535822
申请日：2006-09-27
申请人： Nuria M. Oliver , Arungunram C. Surendran , Chintan S. Thakkar , Gregory R. Smith
发明人： Nuria M. Oliver , Arungunram C. Surendran , Chintan S. Thakkar , Gregory R. Smith
IPC分类号： G06F3/00 , G06F3/14
CPC分类号： G06F3/0481 , G06F3/04845 , G06F9/449 , G06F9/451 , G06F9/542 , G06F11/3003 , G06F11/3414 , G06F11/3447 , G06F11/3476 , G06F17/2785 , G06F17/30598 , G06F2201/86 , G06F2209/543 , G06F2209/545
摘要： A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.
摘要翻译：提供了一种用于获取窗口信息的框架。窗口信息可以应用于不同的分配模型，以将窗口分配给不同的组。组可以对应于由用户正在执行的任务。窗口信息可以是作为窗口事件捕获的语义或时间信息以及捕获其事件的窗口的属性。时间信息可以是关于窗口之间切换的信息。语义信息可以是窗口标题。时间信息，语义信息或两者都可用于将窗口分配给组。

7. 发明授权

US09980016B2 Video contextual advertisements using speech recognition 有权
公开(公告)号：US09980016B2
公开(公告)日：2018-05-22
申请号：US13459435
申请日：2012-04-30
申请人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
发明人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
IPC分类号： G06Q30/00 , H04N21/8405 , G06Q30/02 , H04N21/4402 , H04N21/466 , H04N21/81 , G10L15/26
CPC分类号： H04N21/8405 , G06Q30/02 , G06Q30/0255 , G06Q30/0269 , G06Q30/0271 , G10L15/26 , H04N21/440236 , H04N21/4668 , H04N21/812
摘要： Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.

8. 发明授权

US07801901B2 Tracking storylines around a query 有权
标题翻译：跟踪查询周围的故事情节
公开(公告)号：US07801901B2
公开(公告)日：2010-09-21
申请号：US11532399
申请日：2006-09-15
申请人： Arungunram C. Surendran
发明人： Arungunram C. Surendran
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The claimed subject matter relates to a system and method that effectuates queryline tracking by constructing and utilizing incremental aspect models that employ probabilistic and/or spectral techniques to discover themes within documents delivered in a stream over time. The system and method upon discovery of a theme or enhancements to already induced or surfaced themes can generate a notification for propagation to a user via one or more user specified communications and/or computing modalities.
摘要翻译：所要求保护的主题涉及通过构建和利用使用概率和/或频谱技术来发现随时间流传输的文档内的主题的增量方面模型来实现查询跟踪的系统和方法。发现主题的系统和方法或已经诱导或表现出的主题的增强可以产生通过一个或多个用户指定的通信和/或计算模式向用户传播的通知。

9. 发明授权

US07660713B2 Systems and methods that detect a desired signal via a linear discriminative classifier that utilizes an estimated posterior signal-to-noise ratio (SNR) 有权
标题翻译：通过利用估计的后验信噪比（SNR）的线性鉴别分类器来检测期望信号的系统和方法，
公开(公告)号：US07660713B2
公开(公告)日：2010-02-09
申请号：US10795618
申请日：2004-03-08
申请人： Arungunram C. Surendran , John C. Platt , Somsak Sukittanon , Christopher J. C. Burges
发明人： Arungunram C. Surendran , John C. Platt , Somsak Sukittanon , Christopher J. C. Burges
IPC分类号： G10L21/00
CPC分类号： G06K9/00536 , G10L25/78
摘要： The present invention provides systems and methods for signal detection and enhancement. The systems and methods utilize one or more discriminative classifiers (e.g., a logistic regression model and a convolutional neural network) to estimate a posterior probability that indicates whether a desired signal is present in a received signal. The discriminative estimators generate the estimated probability based on one or more signal-to-noise ratio (SNRs) (e.g., a normalized logarithmic posterior SNR (nlpSNR) and a mel-transformed nlpSNR (mel-nlpSNR)) and an estimated noise model. Depending on the resolution desired, the estimated SNR can be generated at a frame level or at an atom level, wherein the atom level estimates are utilized to generate the frame level estimate. The novel systems and methods can be utilized to facilitate speech detection, speech recognition, speech coding, noise adaptation, speech enhancement, microphone arrays and echo-cancellation.
摘要翻译：本发明提供了用于信号检测和增强的系统和方法。系统和方法利用一个或多个鉴别分类器（例如，逻辑回归模型和卷积神经网络）来估计指示所接收信号中是否存在期望信号的后验概率。鉴别估计器基于一个或多个信噪比（SNR）（例如，归一化对数后验SNR（nlpSNR）和mel变换的nlpSNR（mel-nlpSNR））和估计的噪声模型来生成估计概率。根据期望的分辨率，估计的SNR可以在帧级或原子级产生，其中原子级估计用于生成帧级估计。可以利用新颖的系统和方法来促进语音检测，语音识别，语音编码，噪声适应，语音增强，麦克风阵列和回声消除。

10. 发明申请

US20080005137A1 INCREMENTALLY BUILDING ASPECT MODELS 审中-公开
标题翻译：增加建筑面积模型
公开(公告)号：US20080005137A1
公开(公告)日：2008-01-03
申请号：US11427725
申请日：2006-06-29
申请人： Arungunram C. Surendran , Suvrit Sra
发明人： Arungunram C. Surendran , Suvrit Sra
IPC分类号： G06F7/00
CPC分类号： G06K9/6226 , G06N20/00
摘要： The claimed subject matter relates to an unsupervised incremental learning framework, and in particular, to the creation and utilization of an unsupervised incremental learning framework that facilitates object discovery, clustering, characterization and/or grouping. Such an unsupervised incremental learning framework, once created, can thereafter be employed to incrementally estimate a latent variable model through the utilization of spectral and/or probabilistic models in order to incrementally cluster, discover, group and/or characterize tightly knit themes/topics within document sets and/or streams, thus leading to the generation of a set of themes/topics that better correlate with human perceptual labeling schemes.
摘要翻译：所要求保护的主题涉及无监督的增量式学习框架，特别涉及创建和利用促进对象发现，聚类，表征和/或分组的无监督增量式学习框架。一旦创建了这种无监督的增量学习框架，此后可以用于通过利用频谱和/或概率模型来递增地估计潜在变量模型，以逐渐地聚集，发现，组合和/或表征紧密编织的主题/主题文件集和/或流，从而导致与人类感知标签方案更好相关的一组主题/主题的产生。

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